Our research attempts to solve important technological problems using signal, image processing, and machine learning, AI. We are mainly focused on developing advanced methods for the following tasks/areas-
AI for Remote Sensing
Hyperspectral image processing
Explainable machine learning
Generative AI for Computer Vision
AI for precision agriculture
Biometric Recognition
Seeking enthusiastic PhD students, Master's Students, Internship positions, and Collaborations
Current Students-
Ramen Ghosh (PhD)- Deep Learning for Change Detection from Remotely Sensed Hyperspectral Images, August 2024- Till Date
Sajjan Singh (PhD)- Coursework, August 2025- Till Date
Manish Gayen (BS-MS)- Multimodal Change Detection from Remote Sensing Images.
Ganesh Birua (BS-MS)- Spectral Extension of Hyperspectral Images
Aravind Babu M (BS-MS)- Unmixing-Based Change Detection from Remotely Sensed Hyperspectral Images
Past Students-
Nakshatra Goswami (MS)- Wavelet Decomposition-based DL Models for Non-stationary Time Series Prediction, Completed in 2025
Abhinav N (MS)- Evaluation of Counterfactual Explanations and Feature Importance for Machine Learning Models, Completed in 2025
Gavit Deepsh Ravikant (MS)- Large Language Models for Multimodal Meme Understanding, Completed in 2025
Sayandeep Pal (BS)- Evaluation of Actionable Counterfactuals in Crop Recommendation Systems, Completed in 2025
Manish Gayen (BS)- Tackling Label Noise in Medical Imaging, Completed in 2025
Avinash Kumar Kashyap (BS)- Motion Tracking of Blood Droplets Using Deep Learning Techniques, Completed in 2025
Abhinav (BS)- Deep Learning-Based Near-Infrared Image Colorization, Completed in 2025
Ganesh Birua (BS)- Remote Sensing Image Quality Assessment using Deep Learning Techniques, Completed in 2025
Rakshith Vaishnavi Dogra (BS)- Generation of Hyperspectral Images from RGB Images, Completed in 2025
Aravind Babu M (BS)- Quantifying depth from Remote Sensing Images, Completed in 2025
Our Collaborators
UPDATES
Our students, Ramen Ghosh, Ganesh Birua, and Swatish Jena, received the Student Innovation Grant 2025 for "Automated Hyperspectral Imaging System for Metallic-Object Characterization."
Rajeev Ranjan Dwiwedi, Jiya Sinha, and Sarthak Srivastava received the Student Innovation Grant 2, 2025 for "NirVahan - Human-Visual System Compatible NIR Vision for Automotives."
Our latest publications-
Ramen Ghosh, Swatish Jena, Samiran Das, "SF-MAMBACD: Spatial and Frequency aware VMAMBA for Accurate Mining Change Detection", European Signal Processing Conderence, EUSIPCO 2026 (Accepted).
Manish Gayen, Samiran Das, Shubhobrata Bhattacharya, "GraDeCAR- Gradual Denoising by Contrastive Agreement-based Relabeling for Tackling Label Noise in Medical Imaging", P2P-CV Workshop, The IEEE/CVF Winter Conference on Applications of Computer Vision 2026 (Accepted).
Bipasaha Chakraborty Banik, Ajoy K Ray, Samiran Das, "A Novel Deep Learning Approach for Inferring the Number of Endmembers in a Hyperspectral Image", SPIE Journal of Applied Remote Sensing, Vol. 20, No. 1, 016511, 2026.
Abhinav, Rajeev Ranjan Dwivedi, Samiran Das, Vinod Kurmi, "Histogram Assisted Quality Aware Generative Model for Resolution Invariant NIR Image Colorization", The IEEE/CVF Winter Conference on Applications of Computer Vision, WAC 2026 (Accepted).
Ramen Ghosh, Samiran Das, "DAR2A-Net: Pixelwise Distance Aware Recurrent Residual Attention Net for Efficient Hyperspectral Change Detection", IEEE Geoscience and Remote Sensing Letters, 2025 (Accepted).
Diptarshi Mitra, Samiran Das, Sumit Chakraborty, Saptarshi Das, "Deep Self-Supervised Denoising of Scanning Electron Microscopic Images of Cement Microstructure for Quality Assessment of Concrete", 10th International Conference on Computer Vision and Image Processing 2025 (Accepted)
Ramen Ghosh, Samiran Das, "Unmixing Aware Semantic Feature Fused Network for Accurate Multi-class Hyperspectral Change Detection", 15th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2025 (Accepted).
Agniva Banerjee, Samiran Das, Akshay Agarwal, "On Visual Saliency Maps for Identifying the Fidelity of Deepfake Detection Dataset ", BMVC, 2nd Workshop on Media authenticity in the age of artificial intelligence, 2025 (Accepted).
Manas K Nag, Anup K Sadhu, Samiran Das, Chandan Kumar, Sandeep Choudhary, "3D CoAtUSegNet-Enhanced Deep Learning Framework for Accurate Segmentation of Acute Ischemic Stroke Lesions from Non-Contrast CT Scans", Physical and Engineering Sciences in Medicine, 2025.
Karabi Konar, Saptarshi Das, Samiran Das, Sanjay Misra, "Employee Attrition Prediction Using Bayesian Optimized Stacked Ensemble Learning and Explainable AI", SN Computer Science, Vol 6, 2025
Weikang Yu, Xioxiang Zhang, Samiran Das, XX Zhu, Pedram Ghamisi, "MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification " at IEEE Transactions on Geoscience and Remote Sensing, 2024 https://ieeexplore.ieee.org/abstract/document/10587034. Github - https://github.com/AI4RS/MaskCD
Karabi Konar, Saptarshi Das, Samiran Das, Sanjay Misra, "Employee Attrition Prediction Using Bayesian Optimized Stacked Ensemble Learning and Explainable AI", SN Computer Science, Vol 6, 2025.
Manas K Nag, Anup K Sadhu, Samiran Das, Chandan Kumar, Sandeep Choudhary, "3D CoAtUSegNet-Enhanced Deep Learning Framework for Accurate Segmentation of Acute Ischemic Stroke Lesions from Non-Contrast CT Scans", Physical and Engineering Sciences in Medicine, 2025.
